{"id":202251,"url":"https://alion.io/job/ai-full-time-researcher-natural-language-processing-nlp-for-multimodal-machine-learning","title":"Full time - Researcher / Natural Language Processing (NLP) for Multimodal Machine Learning","company":{"id":94949,"name":"Sony AI","domain":"ai.sony","url":"https://alion.io/company/sony-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":13,"ghost_share":0,"stale_share":0.462,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"GitHub","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Unix","optional":false},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-07-31T00:00:00Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-29T07:48:11Z","board_verified":true,"closed_at":null,"days_open":90,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":90},"description":"Technology Field \nNatural Language Processing\nMachine Learning\nPosition Summary\nWe are an R&D organization dedicated to the research and development of large-scale generative AI technologies for content creation and production in the entertainment domain, including music, film, and games. Generative AI technologies have the potential to transform both consumer lifestyles and the workflows of professional creators, and are expected to become an essential component of the music, film, and gaming industries in the years ahead. By leveraging opportunities to collaborate directly with world-leading entertainment groups across these industries, our team engages in cutting-edge research and development to contribute to Sony Group’s businesses. For more information about our research activities and publications, please visit: https://sony.github.io/creativeai\nResponsibilities\nFundamental research in natural language processing such as multimodal learning, multimodal LLM, music/video understanding, agent, reasoning, controllable generative modeling, deep generative models for discrete data, image/audio captioning, text-to-image/audio, vision-language pre-training, commonsense knowledge graphs, large-scale data development, etc.\nYou will be responsible for a wide range of activities, including paper submissions to top conferences (e.g. ACL, EMNLP, NeurIPS, ICLR, CVPR, etc.), collaborative research with universities and/or business groups, deployment of developed technologies within Sony and/or to third-party products together with product teams, etc.\nYou will also contribute to improving the efficiency of content creation in Sony's studios for music, movies, and game services by delivering AI-assisted tools developed by R&D.\nRequired qualifications\nAll of the following criteria are required.\nMaster's degree in natural language processing, artificial intelligence, machine learning, or closely related areas OR equivalent practical experience.\n3 years of experience with Python, C/C++, and Linux/Unix.\n2 years of experience in machine learning fields and NLP, using common frameworks such as PyTorch and TensorFlow.\nResearch ability, as demonstrated by a track record of conference papers, open-source software, or other scientific activities.\nAbility to speak and write in English fluently and idiomatically.\nPreferred qualifications\nQualifiction at the Ph.D level or higher in natural language processing, artificial intelligence, or machine learning is desirable.\nProduct, Service\nContent creation support for movies/music/games, robots (Aibo), etc.\nDevelopment Environment\nOS: Windows and Linux\nLanguage: Python, C/C++, etc.\nPC, Server, Cloud Computing Application Requirements \nEssay: Not 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